2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-51569%22&qt=morelikethis&rows=5
2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-51569%22&qt=morelikethis&rows=5
2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T12:55:54-05:00 DEBUG: Deserialized SOLR response
Portfolio Optimization using the GO-GARCH model: Evidence from Ukrainian Stock Exchange
Saved in:
Main Authors: | Z. Matsuk, F. Deari, V. Lakshina |
---|---|
Format: | Article |
Language: | English |
Published: |
2016
|
Series: | Economic annals-XXI |
Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000689697 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-51569%22&qt=morelikethis
2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-51569%22&qt=morelikethis
2025-02-23T12:55:54-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T12:55:54-05:00 DEBUG: Deserialized SOLR response
Similar Items
-
About two-criteria optimization of the stock portfolio
by: F. H. Harashchenko, et al.
Published: (2017) -
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models
by: M. Benmoumen
Published: (2022) -
Stock portfolio hedging based on the volatility management strategy with the dynamic parameter optimization
by: O. V. Piskun
Published: (2015) -
Optimal portfolios vis-а-vis corporate governance ratings: some UK evidence
by: S. M. Nor, et al.
Published: (2018) -
Global Diversification of the Securities Portfolio Using the Exchange-traded Funds
by: Yu. Khokhlov
Published: (2014)